Publisher:
Skillsoft
Course Series:
Fundamentals of Natural Language Processing
Specialties:
IT
WhatsNew
Course Description:
Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on programmatically working with text or speech - the term natural here emphasizes that the program must work with and be aware of everyday language, grammar and semantics, rather than structured text data such as might be found in database or string processing. In this course, you will learn about the two main branches of NLP, natural language understanding and natural language generation. You will also explore the Natural Language Toolkit (NLTK) and spaCy, two popular Python libraries for natural language processing and analysis. Next, you will delve into common preprocessing steps for natural language data. This includes cleaning and tokenizing data, removing stopwords from your text, performing stemming and lemmatization, part-of-speech (POS) tagging, and named entity recognition (NER). Finally, you will get set up with your Python environment and libraries for NLP and explore some text corpora that NLTK offers for working with text.
Other courses in this series:
Fundamentals of NLP: Introducing Natural Language Processing
Fundamentals of NLP: Preprocessing Text Using NLTK and SpaCy
Fundamentals of NLP: Representing Text as Numeric Features
Fundamentals of NLP: Rule-based Models for Sentiment Analysis
Fundamentals of NLP: Word Embeddings to Capture Relationships in Text
